Datasets: density estimation using deep generative neural network

Datasets used in Roundtrip paper. Source code can be found at https://github.com/kimmo1019/Roundtrip

UCI datasets:

AReM/data.npy: Activity Recognition data collected from Multi sensors. Data size (42239, 6)

CASP/data.npy: Protein Tertiary Structure data.  Data size (45730, 9)

BANK/data.npy: Financial data collected from clients. Data size (45211, 17)

YPMSD/data.npy: Audio data of various songs. Data size (515345,90)

HEPMASS/train.csv and HEPMASS/test.csv: Data of high-energy particles. 

ODDS contains three outlier detection datasets Shuttle, Mammography and ForestCover.

mnist.tar.gz: MNIST datasets

cifar10.tar.gz: CIFAR-10 datasets

Pretrained models:uncompress pre_trained_models.tar.gz under the Roundtrip model.